univariateML1.5.0 package

Maximum Likelihood Estimation for Univariate Densities

bootstrapml

Parametric Bootstrap on Distributions Fitted with Maximum Likelihood

confint.univariateML

Confidence Intervals for Maximum Likelihood Estimates

decorator

Decorate estimator

get_start

Returns appropriate starting value

inverse_digamma

Inverse digamma function

listmerge

Merges two lists.

MaximumLikelihoodDistribution

Maximum likelihood estimated distribution

mlbeta

Beta distribution maximum likelihood estimation

mlbetapr

Beta prime distribution maximum likelihood estimation

mlbinom

Binomial distribution maximum likelihood estimation

mlburr

Burr distribution maximum likelihood estimation

mlcauchy

Cauchy distribution maximum likelihood estimation

mldunif

Discrete uniform distribution maximum likelihood estimation

mlexp

Exponential distribution maximum likelihood estimation

mlfatigue

Gamma distribution maximum likelihood estimation

mlgamma

Gamma distribution maximum likelihood estimation

mlged

Generalized Error distribution maximum likelihood estimation

mlgeom

Geometric distribution maximum likelihood estimation

mlgompertz

Gompertz distribution maximum likelihood estimation

mlgumbel

Gumbel distribution maximum likelihood estimation

mlinvburr

Inverse Burr distribution maximum likelihood estimation

mlinvgamma

Inverse Gamma distribution maximum likelihood estimation

mlinvgauss

Inverse Gaussian (Wald) maximum likelihood estimation

mlinvweibull

Inverse Weibull distribution maximum likelihood estimation

mlkumar

Kumaraswamy distribution maximum likelihood estimation

mllaplace

Laplace distribution maximum likelihood estimation

mllgamma

Log-gamma distribution maximum likelihood estimation

mllgser

Logarithmic series distribution maximum likelihood estimation

mlllogis

Log-logistic distribution maximum likelihood estimation

mllnorm

Log-normal distribution maximum likelihood estimation

mllogis

Logistic distribution maximum likelihood estimation

mllogitnorm

Logit-Normal distribution maximum likelihood estimation

mllomax

Lomax distribution maximum likelihood estimation

mlnaka

Nakagami distribution maximum likelihood estimation

mlnbinom

Negative binomial distribution maximum likelihood estimation

mlnorm

Normal distribution maximum likelihood estimation

mlparalogis

Paralogistic distribution maximum likelihood estimation

mlpareto

Pareto distribution maximum likelihood estimation

mlpois

Poisson distribution maximum likelihood estimation

mlpower

Power distribution maximum likelihood estimation

mlrayleigh

Rayleigh distribution maximum likelihood estimation

mlsged

Skew Generalized Error distribution maximum likelihood estimation

mlsnorm

Skew Normal distribution maximum likelihood estimation

mlsstd

Skew Student t-distribution maximum likelihood estimation

mlstd

Student-t distribution maximum likelihood estimation

mlunif

Uniform distribution maximum likelihood estimation

mlweibull

Weibull distribution maximum likelihood estimation

mlzip

Zero-inflated Poisson distribution maximum likelihood estimation

mlzipf

Zipf distribution maximum likelihood estimation

model_select

Fit multiple models and select the best fit

newton_raphson_1d

One-dimensional Newton--Raphson

plot_wrangler

Wrangles arguments for use in the plot, lines and points functions.

plot.univariateML

Plot, Lines and Points Methods for Maximum Likelihood Estimates

ppqq_wrangler

Wrangles arguments for use in ppml and qqml functions.

ProbabilityPlots

Probability Plots Using Maximum Likelihood Estimates

simulate_default

Simulate n observations from a ml*** string using default paramete...

to_univariateML

Data and function to 'univariateML'

univariateML_construct

Construct univariateML object.

univariateML_metadata

Metadata for univariateML models.

univariateML_models

Implemented models

univariateML_to_function

Transform a univariateML object to a quantile, CDF, density or random ...

univariateML_to_string

Transform a univariateML object to a string specifying quantile, CDF, ...

univariateML-package

univariateML

User-friendly maximum likelihood estimation (Fisher (1921) <doi:10.1098/rsta.1922.0009>) of univariate densities.

  • Maintainer: Jonas Moss
  • License: MIT + file LICENSE
  • Last published: 2025-03-04